Discrimination in Online Ad Delivery

Google ads, black names and white names, racial discrimination, and click advertising

LATANYA SWEENEY

Do online ads suggestive of arrest records appear more often with searches of black-sounding names than white-sounding names? What is a black-sounding name or white-sounding name, anyway? How many more times would an ad have to appear adversely affecting one racial group for it to be considered discrimination? Is online activity so ubiquitous that computer scientists have to think about societal consequences such as structural racism in technology design? If so, how is this technology to be built? Let’s take a scientific dive into online ad delivery to find answers.

“Have you ever been arrested?” Imagine this question appearing whenever someone enters your name in a search engine. Perhaps you are in competition for an award, a scholarship, an appointment, a promotion, or a new job, or maybe you are in a position of trust, such as a professor, a physician, a banker, a judge, a manager, or a volunteer. Perhaps you are completing a rental application, selling goods, applying for a loan, joining a social club, making new friends, dating, or engaged in any one of hundreds of circumstances for which someone wants to learn more about you online. Appearing alongside your list of accomplishments is an advertisement implying you may have a criminal record, whether you actually have one or not. Worse, the ads may not appear for your competitors.

Discrimination in Online Ad Delivery

 

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Realtime Computer Vision with OpenCV

Mobile computer-vision technology will soon become as ubiquitous as touch interfaces.

KARI PULLI, NVIDIA RESEARCH

ANATOLY BAKSHEEV, ITSEEZ

KIRILL KORNYAKOV, ITSEEZ

VICTOR ERUHIMOV, ITSEEZ

Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Its objective is to determine what is happening in front of a camera and use that understanding to control a computer or robotic system, or to provide people with new images that are more informative or esthetically pleasing than the original camera images. Application areas for computer-vision technology include video surveillance, biometrics, automotive, photography, movie production, Web search, medicine, augmented reality gaming, new user interfaces, and many more.

http://queue.acm.org/detail.cfm?id=2206309

Related: The Future of Human-Computer Interaction | Social Perception | The Invisible Assistant